weighting function

Residual Variability

Residual Variability

weighting is a secondary function called during estimation run to evaluate the model(s) of residual variability specified by the code provided in the $VARIANCE block. weighting is typically not called directly by users.

weighting(parms = NULL, derparms = NULL, codevar=NULL, y=NULL, xdata=NULL, check=FALSE)

Arguments

  • parms: A vector of primary parameters.
  • derparms: A list of derived parameters, specified in the $DERIVED block of code.
  • codevar: The content of the R code specified within the $VARIANCE block in the model file.
  • y: The matrix of structural model predictions.
  • xdata: A vector of times at which the system is being evaluated.
  • check: An indicator whether checks should be performed to validate function inputs

Returns

Return a matrix of numeric values of the same dimension as f.

Author(s)

Sebastien Bihorel (sb.pmlab@gmail.com )

  • Maintainer: Sebastien Bihorel
  • License: GPL-3
  • Last published: 2022-02-04

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